This is a curated gallery of real-world workflows demonstrating how to use Claude Code for AI-driven coding, debugging, and development automation. The showcase includes executable scripts that reproduce each AI interaction locally, allowing you to see exactly how the assistant generates, explains, and modifies code within a development environment.
The project shows how to build custom AI agents with targeted prompts and multi-step slash commands, define project-wide memory that persists across sessions, and inject domain-specific knowledge through markdown files. It also demonstrates integrating external tools like issue trackers and CI pipelines, configuring automated code review and quality checks, and using the language server protocol for real-time code understanding.
Covered workflows range from systematic root-cause debugging and test-driven development to form handling and design system integration. Each example is extracted from source files during a static site build, ensuring that the code snippets stay in sync with actual usage.
